Dr Hans Ren

Tiwtor Cyfrifiadureg, Computer Science

hanchi.ren@abertawe.ac.uk

015
Llawr Gwaelod
Y Ffowndri Gyfrifiadol
Campws y Bae

Dolenni Ymchwil

Trosolwg

Mae Dr Hanchi Ren yn Diwtor ac yn aelod o'r Grŵp Dysgu Cyfrifiadurol a Thechnolegol (http://csvision.swan.ac.uk) yn yr Adran Gyfrifiadureg, Prifysgol Abertawe, lle cwblhaodd ei raddau PhD (2023) a MSc (2016).

Gyda llwyddiannau dysgu dwfn mewn llawer o dasgau gwybyddol cyfrifiadurol, mae AI wedi bod yn dod yn graidd i seilwaith digidol. Mae mwyafrif gwaith Dr Hanchi Ren yn perthyn yn agos i ddysgu peirianyddol cymhwysol i gynhyrchion diwydiannol a llafurus amrywiol. Felly, mae ei ddiddordeb ymchwil ac addysgu yn canolbwyntio'n bennaf ar ddatblygiad sylfaenol dysgu peiriannau damcaniaethol a'i gymwysiadau mewn gweledigaeth gyfrifiadurol, data mawr a chadw preifatrwydd.

Meysydd Arbenigedd

Golwg Cyfrifiadurol
Cadwraeth Preifatrwydd
Dysgu Peirianyddol
Dysgu Dwfn

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Ren, H., Hu, F., Myint, S., Hou, K., Zhang, X., Zuo, M., Zhang, C., Zhang, Q., & Li, H. (2021). A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems. Wireless Communications and Mobile Computing, 2021, 1-15.
https://doi.org/10.1155/2021/6711561, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58621
Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 13(4)
https://doi.org/10.1145/3510032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59093
Ren, H., Deng, J., Xie, X., Ma, X., & Wang, Y. (2024). FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing, 569
https://doi.org/10.1016/j.neucom.2023.127126, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65267
Xie, X., Hu, C., Ren, H., & Deng, J. (2024). A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing, 573, 127225
https://doi.org/10.1016/j.neucom.2023.127225, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65451

Holl Ymchwil

Erthyglau Cylchgronau

Xie, X., Hu, C., Ren, H., & Deng, J. (2024). A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing, 573, 127225
https://doi.org/10.1016/j.neucom.2023.127225, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65451
Ren, H., Deng, J., Xie, X., Ma, X., & Wang, Y. (2024). FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing, 569
https://doi.org/10.1016/j.neucom.2023.127126, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65267
Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 13(4)
https://doi.org/10.1145/3510032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59093
Ren, H., Hu, F., Myint, S., Hou, K., Zhang, X., Zuo, M., Zhang, C., Zhang, Q., & Li, H. (2021). A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems. Wireless Communications and Mobile Computing, 2021, 1-15.
https://doi.org/10.1155/2021/6711561, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58621